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GPT Computer Assistant — Create intelligence for your products
Create your own intelligence specific to your product. With an agentic infrastructure, custom tools, and extensive API support, customize your intelligence in detail and establish extensive artificial intelligence infrastructures like apple intelligence.
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Replies
Mehmet Bartu
Maker
Launching soon!
📌
Hi folks, I'm Bartu,
One of the co-founders of the GPT Computer Assistant (GCA). At OpenAI's GPT-4 launch in May, they said the future of their assistants was on new computers, and we wanted to democratize it. We designed the GPT computer assistant framework to support Windows, Linux, and MacOS.🧑💻
Why we say Intelligence, not Assistant
- The Tool capability of the intelligence you will create with GCA is very high
- Agentic infrastructure is available
- You can add custom tools and create ordered tasks
- We call it 'intelligence' because it can also be used as a framework.
Assistants are usually tools that use the assistant capabilities of GPT-4 with an interface. When you allocate enough development time (700+ hours), you can reach GCA's level but we already offer it for free in a form that includes many APIs that you can easily customize.
🧩 We support both cloud and many local models. We believe that open-source models are critical for the democratization of AI.
👉 How to build intelligence for your product with the GPT Computer Assistant
- A wide range of APIs are available for many things such as logo, product name, characterization
- You can customize the agent infrastructure according to your product, so you can get higher quality AI outputs
- By adding custom tools for agent infrastructure, you will get accurate results in specific tasks
Experience✨
- It answers your question in less than a second in local models.
- To get out of the monotony, we voice the answers the assistant gives in three different voices.
- It understands when your conversation is over and acts according to your commands.
- You can silence GCA without finishing its speech
- You can see the path it followed to respond to your commands.
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@bartu Congrats! GCA is paving the way for truly intelligent assistants. A possible enhancement could be adding a learning mode where the AI adapts to specific user preferences over time. Wishing you great success with GCA!
@dhruv_n1 Yes, that would be great. Thank you for the suggestion.
@dash4u We use it in the Upsonic codebase, we turned it into a copilot for ourselves, and it was especially useful in development.
This is so smart! Great addition to any AI infrastructure. Congrats on the launch
@alexdigitalmkt Hey! Nice to hear that, you can easily create a customize AI infrastructure for your product
@alexdigitalmkt Absolutely, and it makes us happy to offer this to the community as open source.
@alexdigitalmkt Thanks and lets bring it to the future with Open Source Software community.
Congrats on the launch! The versatility of GCA is impressive—especially with its robust API support. Looking forward to seeing how it democratizes AI for everyone! 🚀
Looks like a cool product. Can't wait to try it. Congrats on the launch. Good luck!
@ishwarjha Thank you. If you encounter a problem, you can always reach us through our Discord channel.
@ishwarjha Thanks and would be great to listen feedbacks afterwards.
Exciting to see GPT Computer Assistant launch! How does it handle complex data integration?
@william_jin I don't know, honestly, I have no opinion on this matter 😅
Congrats on the launch! Excited to see how this tool simplifies building custom AI with its powerful features and API support. What's next on your roadmap for enhancing the platform?
@sasha_briu We are focused to these points:
- Adding more custominization and api
- Creating document for Build to directly .exe or .dmg
Absolutely thrilled to see the launch of the GPT Computer Assistant (GCA) by @bartu and team! The focus on building a customizable intelligence framework seems like a game changer for developers. The ability to integrate extensive APIs and create tailored tools really sets this apart in the market. Exciting times for open-source AI and democratizing technology! Can't wait to explore how GCA can elevate my projects. Let’s upvote this innovation on PH! 🚀
Impressive work, @bartu! GCA looks like a game changer for customizing AI. Excited to see how it empowers creators with such agentic infrastructure! 🚀
This sounds like a highly adaptable and powerful tool, Bartu! The agent infrastructure and ability to add custom tools elevate it beyond a typical assistant—it’s genuinely intelligent. Kudos to you and the team for making this open-source and accessible to everyone! 🚀
Congrats on the launch! So this is an open-source Apple intelligence for all platforms?
As the founder of egaranti and someone who closely follows technology, I was genuinely impressed by the GPT Computer Assistant (GCA). GCA is not just an assistant; it offers a fully customizable and open-source intelligence framework, making a significant contribution to the democratization of AI. With its agentic infrastructure, it delivers incredibly fast responses on both cloud and local models, enriching the user experience with three different voice options. Its customizable architecture and extensive API support set a new standard in the AI world. For those looking to push the boundaries of AI, GCA is a must-try platform!
@bartu
Yo the UI design is pretty unique! Reminds me of the interface of an old school synthesizer. Congrats on the launch!
Congrats on the launch! where do you see CGA having the most common use cases?
Explain it to me like if I wasn't a Dev ('cause I'm not ahah)
@vitor_pvsoares Ahahah thanks Vitor, A common use case could be for b2b SaaS companies to create intelligence for their software. Like a on-bording guys. :)
@vitor_pvsoares For example, for a marketing tool, rather than just generating a message, you can ask it to research from forms and the web, thanks to the agent structure, this way you can get a more current result. You can ask it to write a blog about the topic it researches and have a much more successful text.
After you build your own intelligence, you can add tool mechanisms that will enable the people using your product to onboard faster
For e-commerce
It can prepare a special report on what they can do to achieve more successful results by examining the Google analytics data of the people who open stores on the website. It can make price research, investigate the prices of the sold product in other stores, and give advice on why the shopping cart conversions are low.
In our codebase product named Upsonic, we use many agents in topics such as writing code, checking code quality, setting code standards, passing the code through security, and auto-documentation of the code.
@vitor_pvsoares Thanks and for example you can create your ow Copilot for your b2b dev tools.
@vitor_pvsoares Congrats on bringing your idea to life! Wishing you a smooth and prosperous journey. How can we best support you on this journey?
@kjosephabraham We would be very happy if you could try the product and give feedback.
Congrats on the project @bartu . Just signed up and I'm already impressed! Excited to dive deeper and see how it can enhance my workflow! Do you have any suggestions on what to check out first?
@berkebasaraner Thank you Berke, first determine where AI can be used for your product, then you can perform a basic customization in 5 minutes. You can complete a more comprehensive customization in one hour, but you need a developer to do these.
A few things that caught my eyes: it's open source, how raw the product interface is (this means you really focused on building this as a framework), the APIs are quite comprehensive, the local LLM support, and the omni experience.
Often times though, the use cases are fairly nuanced, so a lot of customization has to be done to make it work. How much time would it take to fine tune the app?
Congrats on the launch @bartu and team!
@tonyhanded It's a very clever approach, Tony. A simple customization takes 5 minutes, but a detailed customization can take between 1 and 10 hours.